How to Install and Uninstall parlaylib-devel.x86_64 Package on Fedora 39
Last updated: November 18,2024
1. Install "parlaylib-devel.x86_64" package
This is a short guide on how to install parlaylib-devel.x86_64 on Fedora 39
$
sudo dnf update
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$
sudo dnf install
parlaylib-devel.x86_64
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2. Uninstall "parlaylib-devel.x86_64" package
In this section, we are going to explain the necessary steps to uninstall parlaylib-devel.x86_64 on Fedora 39:
$
sudo dnf remove
parlaylib-devel.x86_64
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$
sudo dnf autoremove
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3. Information about the parlaylib-devel.x86_64 package on Fedora 39
Last metadata expiration check: 1:18:15 ago on Thu Mar 7 11:44:58 2024.
Available Packages
Name : parlaylib-devel
Version : 2.1.5^20230215git137076b
Release : 3.fc39
Architecture : x86_64
Size : 121 k
Source : parlaylib-2.1.5^20230215git137076b-3.fc39.src.rpm
Repository : fedora
Summary : A toolkit for programming parallel shared memory algorithms
URL : https://github.com/cmuparlay/parlaylib
License : MIT
Description :
: ParlayLib is a header only C++ library for developing efficient parallel
: algorithms and software on shared-memory multicore machines. It provides
: additional tools and primitives that go beyond what is available in the
: C++ standard library, and simplifies the task of programming provably
: efficient and scalable parallel algorithms. It consists of a sequence
: data type (analogous to std::vector), many parallel routines and
: algorithms, a work-stealing scheduler to support nested parallelism,
: and a scalable memory allocator.
Available Packages
Name : parlaylib-devel
Version : 2.1.5^20230215git137076b
Release : 3.fc39
Architecture : x86_64
Size : 121 k
Source : parlaylib-2.1.5^20230215git137076b-3.fc39.src.rpm
Repository : fedora
Summary : A toolkit for programming parallel shared memory algorithms
URL : https://github.com/cmuparlay/parlaylib
License : MIT
Description :
: ParlayLib is a header only C++ library for developing efficient parallel
: algorithms and software on shared-memory multicore machines. It provides
: additional tools and primitives that go beyond what is available in the
: C++ standard library, and simplifies the task of programming provably
: efficient and scalable parallel algorithms. It consists of a sequence
: data type (analogous to std::vector), many parallel routines and
: algorithms, a work-stealing scheduler to support nested parallelism,
: and a scalable memory allocator.